Singapore University of Social Sciences

Applied Operations Research (ANL355)

Synopsis

ANL355 Applied Operations Research introduces students to the optimization process and covers techniques such as the Simplex Method, Network Simplex, integer programming, non-linear programming and dynamic programming. Case studies will be used extensively to help illustrate the various techniques covered. Hands-on using computer software (e.g., Excel, AMPL) will also be taught in this course.

Level: 3
Credit Units: 5
Presentation Pattern: Every January

Topics

  • Foundations of Probability and Basic Linear Algebra
  • Operations Research & Decision Analysis
  • Linear Optimisation Model
  • Geometry of the Solution Space
  • Nonlinear Optimisation
  • Discrete Optimisation
  • Decision Tree Analysis
  • Linear Optimisation under Uncertainty
  • Risk vs Ambiguity
  • Simulation Modelling
  • Random Number Generation
  • Integration in Decision Modelling

Learning Outcome

  • Explain relevant concepts used in Operations Research
  • Describe the relevant business problem to be solved
  • Determine the relevant operatinos technique to use for a given business problem
  • Formulate mathematical models in daily business operations
  • Interpret the results of the proposed mathematical optimization models
  • Evaluate the results of various proposed mathematical optimization models for effective decision-making in complex scenarios
  • Use optimization solver and computer tools to derive the optimal or near-optimal solution of proposed mathematical optimization problems
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